Venice Abliterated
Venice Abliterated, a general-purpose chat model with reduced refusals and a 128K-token context window.
Sprachmodelle wie Venice und Hermes mit minimaler Verweigerungsrate für ungehinderte Recherchen, forensische Analysen und kreative Freiheit auf MuAPI.
Venice Abliterated, a general-purpose chat model with reduced refusals and a 128K-token context window.
Hermes 4 405B from Nous Research, a large open-weights model trained for steerability and low refusal rates, with a 128K-token context window.
The Low-Refusal LLM API is Muapi's catalog of 2 low-refusal chat LLMs, from lightweight 8B chat models to 1M-token-context reasoning models, behind one consistent REST interface so you can compare them by changing a single model name.
Senden Sie einen Prompt, optional mit System-Prompt für Tonalität und Kontext, und rufen Sie den generierten Text ab. Typische Anwendungen umfassen offene Dialoge, kreatives Schreiben, Brainstorming und Rechercheassistenten, die detaillierten Systemanweisungen folgen. Diese universellen Chat-Modelle weisen eine minimierte Verweigerungsrate auf; sie garantieren keine völlig schrankenlose Ausgabe. Sie bleiben für die Nutzung der generierten Inhalte verantwortlich.
Every endpoint accepts the same request body and returns text through the shared result endpoint, so switching models is a one-line change.
These models decline fewer requests than typical assistant models. Behavior varies by model and prompt, and is not a guarantee.
Set a system_prompt to steer persona, tone, and output format for creative, analytical, or evaluation work.
Billing follows the token counts each call returns. There is no subscription and no model hosting to manage.
Use these models for chat, drafting, and step-by-step reasoning.
Reduced refusals do not mean no rules. Muapi's acceptable-use policy and applicable law still apply to what you generate.
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| venice-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.80/M in · $3.60/M out | General chat and writing with reduced refusals |
| hermes-4-405b | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.60/M in · $2.40/M out | Large-model chat and reasoning that follows your system prompt closely |
Billed per token from the usage each call returns; prices are per million input and output tokens.
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint.
curl -X POST https://api.muapi.ai/api/v1/venice-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Give me a candid pros-and-cons list for quitting my job to freelance.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call venice-abliterated with a prompt and optional system_prompt.
curl -X POST https://api.muapi.ai/api/v1/hermes-4-405b \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Follow this system prompt exactly and critique my draft essay.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call hermes-4-405b with a prompt and optional system_prompt.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll the shared result endpoint until the task is completed, then read the generated text from outputs.
A low-refusal LLM is a chat model with reduced refusals or one trained for high steerability, so it declines fewer requests than a typical assistant. It is a description of typical behavior, not a guarantee, and results vary by model and prompt.
Venice Abliterated and Hermes 4 405B. Each is a separate endpoint with its own model name in the URL.
Billing is per token, deducted after each call from the counts the model returns. Rates start at $0.60 per million input tokens; see the pricing table for every model.
No. Reduced refusals do not mean unrestricted output, and each model's knowledge and quality still bound the answer. You are responsible for how you use the output, and requests that violate Muapi's acceptable-use policy or the law are not permitted.
No. Every model on this page is text in, text out.
POST to /api/v1/<model-name> returns a request_id. Poll /api/v1/predictions/{request_id}/result until the status is completed, then read the text from outputs.
Create one Muapi API key and call every model on this page with a plain REST request.